Machine Learning / AI Engineer - Mid-Career, Senior, Lead/Principal
San Francisco , California
December 29, 2017
Join our team and experience Workday!

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Job Description
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We are the ML Applications, Services, and Platform team in Workday. Our focus is on the practical application of search, machine learning, statistical analysis and distributed computing. Workday is the Cloud-based SaaS company providing industry-leading solutions in the space of HR, Financials, Workforce planning and Learning for more than 30% of the Fortune 500. We leverage incredibly diverse data to build data-driven products with ML at its core to help the world's largest organizations uncover useful insights and make strategic decisions about their people, finances, and business.

As a Machine Learning / AI Engineer, you will tackle challenges in Recommendation Systems, Natural Language Processing/Understanding, Deep Learning for OCR, Search Ranking and Relevance among others. This is a unique opportunity to impact analytics products and platforms at the Enterprise level. You will utilize Workday's vast computing resources on rich and extensive data-sets in domains of HR, Finance, Student Learning, and Workforce planning. We will challenge you to bring your best creative thinking, problem-solving, and innovation to make an impact on thousands of enterprise customers and millions of people.

Excited? Do you want to be a part of a world class team? Here's more. In this role, you shall:
  • Work with product managers to formulate the ML product vision and design
  • Propose statistical or machine learning based model/methodology to solve the problem
  • Propose accuracy measures and validation criteria for the model
  • Implement and evaluate proposed model/methodology
  • Communicate the results and methodology effectively within the team and to external stakeholders
  • Work with our ML platform team to design and implement end-to-end solutions for Workday customers
  • Own continuous support, performance and enhancement of our ML products

We would love to discuss your:
  • 5 - 10 years of experience in Applied Machine learning
  • Proven track record of analyzing large-scale complex data sets, modeling, and productizing machine learning algorithms
  • Proficiency in statistical analytics and machine learning algorithms especially for supervised and unsupervised methods
  • Proficiency in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas)
  • Proficiency in at least one statistical modeling tools from among R, Matlab or Weka
  • Experience with Hadoop/YARN/Mesos/Spark/Elasticsearch/Kafka and building applications end-to-end
  • Educational background in a relevant field (Computer Science, Applied Math, Statistics)
    • Operations Research, Physics, Computational Biology, or other quantitative fields with relevant experience in Applied Machine Learning
What we offer:
  • Opportunity to make an impact on industry-leading projects
  • Work with a highly motivated and dedicated team
  • Full medical, dental, vision for FTE roles
  • Employer-matching 401k
  • Discounted employee stock purchase plan
  • Paid baby bonding / parental leave
  • Adoption reimbursement
  • Back-up child and elderly daycare
  • Dog friendly offices (Pleasanton-only)
  • Commuter benefits
  • Unlimited PTO
  • Healthy snack program
  • Fitness rooms

Learn more about Workday:
Workday's Technology Platform and Development Process (whitepaper):

Workday Technology and Innovation Blog:

EVP of Development Explains Technology behind Workday's Innovative Applications  (YouTube):


A little about us:
Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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